New bread of targeted marketing programs rank homeowners who are most likely to sell in the near future.

(Boonton, NJ, June 20, 2014) —
Since August, Steve Kunkel has been using predictive
analytics to decide which homeowners to call, and as
of late April, he had closed five deals as a result of his
efforts.

Were very pleased, says Kunkel, part of a husband-and-
wife team at Keller Williams in Atlanta.

In early examples of this new breed of consumer research,
Netflix knows what movies you might like based on your
past rentals, and Amazon recommends books by looking
at what you and others have bought in the past. In the real
estate industry, Trulia suggests homes by studying patterns
of properties that buyers have clicked on in the past.

Kunkel says his rationale for trying the software was simple:
As he shifted from short sales to traditional sales, he
needed leads.

We have a farm of 2,500 people, and mailing to that many
people is expensive, he tells Real Estate Brokers Insider.

Obviously, there are people [on the list] who may never
sell, he says. Even if it only raises the odds of success,
big datas brave new world promises to make agents jobs
easier.

Details on Kunkel and other agents experiences with predictive
analytics appear in the June issue of Real Estate Brokers Insider.